Trial Outcomes & Findings for Cali Sin Tos Aim 2 (NCT NCT06338462)

NCT ID: NCT06338462

Last Updated: 2025-10-09

Results Overview

Feasibility of the mHealth strategy was defined as the proportion of index persons with TB and household contacts at risk of TB who engaged with the chatbot, defined as responding to at least one message from the chatbot.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

269 participants

Primary outcome timeframe

within 14 days of invitation

Results posted on

2025-10-09

Participant Flow

No randomization in this trial. Single arm interventional study.

Participant milestones

Participant milestones
Measure
Mobile Health and Oral Testing
to adapt an automated conversation agent (Chatbot) and oral testing as a novel multi-component strategy for implementing TB contact investigation over three phases of participatory co-design Chatbot: The chatbot is a WhatsApp-based, artificial-intelligence powered customer service agent adapted for TB outreach. The objective of the Chatbot is to facilitate information gathering, education, and support throughout TB contact evaluation, ensuring accessible assistance on-demand during and after contact tracing procedures. It operates in a secure data environment that includes end-to-end encryption and has been reviewed and approved by the data protection team within the information technology unit at the Cali Secretariat of Public Health (SoPH) for the study purposes. Oral testing: Oral testing involves collection of a saliva sample or use of a nylon swab to collect material from the tongue and oral mucosa that is then tested with a molecular test for Mycobacterium tuberculosis
Overall Study
STARTED
269
Overall Study
COMPLETED
217
Overall Study
NOT COMPLETED
52

Reasons for withdrawal

Reasons for withdrawal
Measure
Mobile Health and Oral Testing
to adapt an automated conversation agent (Chatbot) and oral testing as a novel multi-component strategy for implementing TB contact investigation over three phases of participatory co-design Chatbot: The chatbot is a WhatsApp-based, artificial-intelligence powered customer service agent adapted for TB outreach. The objective of the Chatbot is to facilitate information gathering, education, and support throughout TB contact evaluation, ensuring accessible assistance on-demand during and after contact tracing procedures. It operates in a secure data environment that includes end-to-end encryption and has been reviewed and approved by the data protection team within the information technology unit at the Cali Secretariat of Public Health (SoPH) for the study purposes. Oral testing: Oral testing involves collection of a saliva sample or use of a nylon swab to collect material from the tongue and oral mucosa that is then tested with a molecular test for Mycobacterium tuberculosis
Overall Study
No intervention received due to inaccurate contact info, no WhatsApp, no internet, or no smartphone
52

Baseline Characteristics

Race and Ethnicity were not collected from any participant.

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Mobile Health and Oral Testing
n=269 Participants
to adapt an automated conversation agent (Chatbot) and oral testing as a novel multi-component strategy for implementing TB contact investigation over three phases of participatory co-design Chatbot: The chatbot is a WhatsApp-based, artificial-intelligence powered customer service agent adapted for TB outreach. The objective of the Chatbot is to facilitate information gathering, education, and support throughout TB contact evaluation, ensuring accessible assistance on-demand during and after contact tracing procedures. It operates in a secure data environment that includes end-to-end encryption and has been reviewed and approved by the data protection team within the information technology unit at the Cali Secretariat of Public Health (SoPH) for the study purposes. Oral testing: Oral testing involves collection of a saliva sample or use of a nylon swab to collect material from the tongue and oral mucosa that is then tested with a molecular test for Mycobacterium tuberculosis
Age, Continuous
43 years
n=269 Participants
Sex: Female, Male
Female
109 Participants
n=269 Participants
Sex: Female, Male
Male
160 Participants
n=269 Participants
Region of Enrollment
Colombia
269 participants
n=269 Participants
Person living with HIV
17 Participants
n=191 Participants • Only measured among those with tuberculosis (n=191)
Pulmonary tuberculosis
166 Participants
n=191 Participants • Only among those with tuberculosis (n=191)
Person with tuberculosis
191 Participants
n=269 Participants
Contact of person with tuberculosis
78 Participants
n=269 Participants

PRIMARY outcome

Timeframe: within 14 days of invitation

Population: Number of individuals who successfully received the chatbot. 52 did not receive the chatbot. We did not collect reasons why the chatbot was not received.

Feasibility of the mHealth strategy was defined as the proportion of index persons with TB and household contacts at risk of TB who engaged with the chatbot, defined as responding to at least one message from the chatbot.

Outcome measures

Outcome measures
Measure
Mobile Health and Oral Testing
n=217 Participants
to adapt an automated conversation agent (Chatbot) and oral testing as a novel multi-component strategy for implementing TB contact investigation over three phases of participatory co-design Chatbot: The chatbot is a WhatsApp-based, artificial-intelligence powered customer service agent adapted for TB outreach. The objective of the Chatbot is to facilitate information gathering, education, and support throughout TB contact evaluation, ensuring accessible assistance on-demand during and after contact tracing procedures. It operates in a secure data environment that includes end-to-end encryption and has been reviewed and approved by the data protection team within the information technology unit at the Cali Secretariat of Public Health (SoPH) for the study purposes. Oral testing: Oral testing involves collection of a saliva sample or use of a nylon swab to collect material from the tongue and oral mucosa that is then tested with a molecular test for Mycobacterium tuberculosis
Implementation of the mHealth Strategy to Assess Feasibility.
112 Participants

PRIMARY outcome

Timeframe: within 7 days of screening

Population: Investigators were unable to pilot the oral testing strategy within contacts of persons with tuberculosis as the Ministry of Health cancelled the contract with the community health workers. Without the community health workers in place, this strategy was infeasible and will not be collected in the future.

Feasibility of the oral testing strategy defined as the proportion of eligible and enrolled contacts of the index person with TB with successful collection of an oral sample

Outcome measures

Outcome data not reported

Adverse Events

Mobile Health and Oral Testing

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Dr. J. Lucian Davis

Yale School of Public Health

Phone: 203-785-3665

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place